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1. State the advantages and disadvantages of using confidence intervals for sta- tistical inference. 2. Two situations affect the choice of a calculation of a confidence interval: (1) the population is known; (2) the population variance is unknown. How would you calculate a confidence interval given these two different circumstances? 3. Explain the bootstrap principle. How can it be used to make statistical infer- ences?
4. How can bootstrap confidence intervals be generated? Name the simplest form of a bootstrap confidence interval. Are bootstrap confidence intervals exact?
In order to determine whether or not a driver's education course improves the scores on a driving exam, a sample of six students were given the exam before and after taking the course. The results are shown below:
the return on investments earned by your company for four successive years was 20 -20 50 and 120. what is the geometric
A common error is neglecting to get ranked data for some statistical processes. Why do we have to have ranked data? Give an example of where you would need ranked data.
suppose that the random variable y is an observation from a normal distribution with unknown meannbspmu and variance
we know that the average life of a light bulb is 10000 hours.there are 12 lightbulbs in a classroom. in order for a
the time required to assemble an electronic component is normally distributed with a mean and standard deviation of 16
The value of the z-score that is obtained for a hypothesis test is influenced by several factors. Some factors influence the size of the numerator of the z -score and other factors influence the size of the standard error in the denominator.
Calculate the start and finish times for each activity and determine the minimum number of weeks for completing the project. Find the critical set of activities for the project.
What happens to the boundaries for the critical regions?
given the situation described. identify the type of sampling involved. at a newspaper office staffers are classified
a lake contains 4 distinct types of fish. suppose that each fish caught is equally likely to be any one of these types.
a sample of 4 telephones is selected from a shipment of 20 phones. there are 5 defective telephones in the shipment.
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